Lightweight Investigation of Extended-Range Electric Vehicle Based on Collision Failure Using Numerical Simulation

Joint Authors

Long, Jiangqi
Huang, Wenhao
Zhang, Wuhu

Source

Shock and Vibration

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-09-20

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Civil Engineering

Abstract EN

The total weight of Extended-Range Electric Vehicle (E-REV) is too heavy, which affects rear-end collision safety.

Using numerical simulation, a lightweight method is designed to reduce E-REV body and key parts weight based on rear-end collision failure analysis.

To calculate and optimize the performance of vehicle safety, the simulation model of E-REV rear-end collision safety is built by using finite element analysis.

Drive battery pack lightweight design method is analyzed and the bending mode and torsional mode of E-REV before and after lightweight are compared to evaluate E-REV rear-end collision safety performance.

The simulation results of optimized E-REV safety structure are verified by both numerical simulation and experimental investigation of the entire vehicle crash test.

American Psychological Association (APA)

Long, Jiangqi& Huang, Wenhao& Zhang, Wuhu. 2015. Lightweight Investigation of Extended-Range Electric Vehicle Based on Collision Failure Using Numerical Simulation. Shock and Vibration،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1078094

Modern Language Association (MLA)

Long, Jiangqi…[et al.]. Lightweight Investigation of Extended-Range Electric Vehicle Based on Collision Failure Using Numerical Simulation. Shock and Vibration No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1078094

American Medical Association (AMA)

Long, Jiangqi& Huang, Wenhao& Zhang, Wuhu. Lightweight Investigation of Extended-Range Electric Vehicle Based on Collision Failure Using Numerical Simulation. Shock and Vibration. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1078094

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1078094